Factual package intelligence from PyPI
Monthly mean air temperature for 270 cities worldwide (CC-BY-4.0). 12 monthly normals + annual mean, derived from CHELSA v2.1 (1981-2010).
pip install world-temperature-data
PyPI declares 0 unique dependency rules for this release. Environment markers are shown when supplied by the project.
This release declares no required runtime dependencies in its PyPI metadata.
world-temperature-data publishes 1 wheel and 1 source archive for version 0.1.0. Wheel platform tags: any.
No version-specific Python classifiers are declared.
PyPI lists 1 release with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on .